Edge-based internet-of-things-based management method and system for liquid crystal display screen of law enforcement recorders

Abstract

This invention relates to the field of display screen management technology, specifically disclosing a method and system for managing the LCD screen of a law enforcement recorder based on edge IoT, including the following steps: Step S1: Real-time acquisition of status data of each law enforcement recorder, synchronous acquisition of original video and extraction of original center image; Step S2: Establishment of a coordinate system in the original center image, dividing it into sub-source blocks with position coordinates, calculating the transmission matching degree between the law enforcement recorder and the sub-source blocks, and determining the optimal sub-source block for each law enforcement recorder; Step S3: Law enforcement recorder acquires the corresponding sub-source image, performs spatial alignment and stitching based on position coordinates, and generates a complete image frame sequence in real time; Step S4: Storage of the complete image frame in the edge IoT gateway, dynamically adjusting the display resolution according to the current link quality, and outputting a smooth real-time picture on the LCD screen.

Description

Technical Field

[0001] This invention relates to the field of display screen management technology, and more specifically to a method and system for managing the LCD display screen of a law enforcement recorder based on edge IoT. Background Technology

[0002] As the core evidence collection and information exchange device at the scene of law enforcement, the law enforcement recorder needs to transmit high-definition video and image data in real time to provide key support for command and decision-making.

[0003] However, the data transmission mode of existing law enforcement recorders faces significant bottlenecks: on the one hand, communication bandwidth is severely limited, and the amount of high-definition video and image data is enormous. In scenarios with multiple devices transmitting concurrently, problems such as screen stuttering and transmission delays are prone to occur, resulting in unsmooth playback on the LCD screen. This not only delays the best opportunity for on-site evidence collection but also weakens the command center's real-time control over the situation, severely restricting the efficiency of law enforcement collaboration. On the other hand, traditional law enforcement recorders mostly rely on centralized transmission architectures, requiring all data to be transmitted back to the cloud for processing. This not only exacerbates bandwidth pressure but also increases data transmission latency and security risks, making it difficult to meet the core requirements of low latency and high reliability in law enforcement scenarios. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for managing the LCD screen of a law enforcement recorder based on edge IoT, and to solve the following technical problems.

[0005] The objective of this invention can be achieved through the following technical solutions: A method for managing the LCD screens of law enforcement recorders based on edge IoT includes an edge IoT gateway that connects several law enforcement recorders. The edge IoT gateway includes the following steps: Step S1: Acquire the status data of each law enforcement recorder in real time, collect raw video from each law enforcement recorder within a preset time window, and extract the original center image based on each raw video. Step S2: Establish a coordinate system within the original center image and divide the original center image into several sub-source blocks, each sub-source block corresponding to a position coordinate; determine the transmission matching degree between each sub-source block and each law enforcement recorder based on the status data, and determine the optimal sub-source block for each law enforcement recorder based on the transmission matching degree; Step S3: Each law enforcement recorder acquires the sub-source image of its best sub-source block, and stitches the sub-source images together according to the position coordinates of each best sub-source block to obtain a complete image frame in real time. Step S4: Store all complete image frames in the edge IoT gateway, obtain the current link quality parameters, determine the real-time display resolution based on the current link quality parameters, and output each complete image frame sequentially on the LCD screen of the law enforcement recorder according to the real-time display resolution.

[0006] As a further aspect of the present invention: the status data includes uplink communication bandwidth, signal strength, battery remaining capacity, sensor load rate, and remaining frame buffer capacity of the liquid crystal display.

[0007] As a further aspect of the present invention: the process of extracting the original center image from each original video includes: All original videos are divided into several image frames. Based on image recognition technology, all targets within the image frames are identified. The targets include people, plants, animals, and objects. Targets that are identified in all image frames are obtained and recorded as common targets. A spatial coordinate system is established with any image frame as a reference. The image frames are aligned in the spatial coordinate system, and the regions where all common targets are located are fused to obtain the original central image.

[0008] As a further aspect of the present invention: the original center image is divided into several pixels, and each pixel corresponds to a coordinate in the coordinate system; the pixel corresponding to the center point of the sub-slice source block is obtained and denoted as the center pixel, and the coordinates corresponding to the center pixel in the coordinate system are obtained and denoted as the position coordinates corresponding to the sub-slice source block.

[0009] As a further aspect of the present invention: the process of determining the transmission matching degree between the sub-slice source block and the law enforcement recorder includes: The transmission matching degree between the i-th law enforcement recorder and the j-th sub-source block BW i This indicates the uplink communication bandwidth of the [number] law enforcement recorder, measured in Mbps (BW). max D is the preset maximum uplink communication bandwidth. j D represents the data size of the j-th sub-slice source block. max Indicates the maximum data size of a single sub-slice source block as preset, SS i Power indicates the signal strength of the body camera per unit of data volume. i The remaining battery life of the i-th law enforcement recorder, Power max This indicates the maximum battery capacity of the law enforcement recorder, in L. i This represents the sensor load rate of the i-th law enforcement recorder.

[0010] As a further aspect of the present invention: the process of determining the optimal sub-slice source block for each law enforcement recorder based on the transmission matching degree includes: Obtain the transmission matching degree between each law enforcement recorder and each sub-slice source block, and construct an allocation model with the goal of maximizing the sum of matching degrees. Where m is the total number of law enforcement recorders, n is the total number of sub-slice source blocks, and x ij Let be a 0-1 decision variable, representing whether to allocate the j-th sub-slice source block to the i-th law enforcement recorder; solve the allocation model to obtain an allocation strategy that satisfies that each sub-slice source block has one and only one law enforcement recorder, then the sub-slice source block to which the law enforcement recorder is allocated is denoted as the best sub-slice source block of the law enforcement recorder.

[0011] As a further aspect of the present invention, the process of stitching together the sub-source images includes, for any sub-source image acquired by a law enforcement recorder, mapping the sub-source image to the corresponding pixel region in the coordinate system according to the position coordinates of the best sub-source block corresponding to the law enforcement recorder.

[0012] As a further aspect of the present invention: the process of determining the real-time display resolution based on the current link quality parameters includes: Several link quality parameter thresholds are set, and the communication link quality is divided into several link quality levels according to each link quality parameter threshold. Each link quality level corresponds to a preset display resolution threshold. Then, based on the current link quality parameters, the current link quality level is determined, and the display resolution threshold corresponding to the current link quality level is obtained, which is recorded as the real-time display resolution.

[0013] The law enforcement recorder LCD display management system based on edge IoT includes an edge IoT gateway for communication connections between several law enforcement recorders, wherein the edge IoT gateway includes: Acquisition module: acquires the status data of each law enforcement recorder in real time, acquires raw video from each law enforcement recorder within a preset time window, and extracts the raw center image from each raw video; Segmentation and matching module: Establishes a coordinate system within the original center image and divides the original center image into several sub-segment source blocks, each sub-segment source block corresponding to a position coordinate; determines the transmission matching degree between each sub-segment source block and each law enforcement recorder based on the status data, and determines the optimal sub-segment source block for each law enforcement recorder based on the transmission matching degree; Stitching module: Each law enforcement recorder acquires the sub-source image of its best sub-source block, and stitches the sub-source images together according to the position coordinates of each best sub-source block to obtain a complete image frame in real time; Display output module: Stores all complete image frames in the edge IoT gateway, obtains the current link quality parameters, determines the real-time display resolution based on the current link quality parameters, and outputs each complete image frame sequentially on the LCD screen of the law enforcement recorder according to the real-time display resolution.

[0014] The beneficial effects of this invention are: This invention uses an edge IoT gateway to set a synchronous acquisition time window, enabling multiple law enforcement recorders to independently acquire raw video and extract the original central image composed of a common target within the time window, overcoming the problem of limited field of view of a single device. The original central image is divided into several non-overlapping, boundary-aligned sub-source blocks. Based on the uplink bandwidth, signal strength, battery level, and load rate of each law enforcement recorder, a transmission matching degree is calculated. A bipartite graph optimal matching algorithm is used to assign the most suitable recorder to each sub-source block, maximizing overall transmission efficiency and preventing bandwidth congestion and image stuttering during concurrent transmission of multiple high-definition videos. Each law enforcement recorder only acquires the assigned sub-source image, which is then transmitted via the edge IoT gateway. The gateway performs pixel-level alignment and weighted fusion stitching based on location coordinates to reconstruct complete image frames in real time. This ensures the integrity of the on-site evidence collection while significantly reducing the amount of data transmitted per channel. During playback, the law enforcement recorder dynamically requests the corresponding display resolution based on the current link quality. The edge gateway downsamples the data in real time before transmitting it, and the LCD display module uses its internal image signal processor to adaptively scale the display, ensuring smooth and lag-free playback even when the link fluctuates. This significantly improves the real-time performance of on-site command and decision-making and the reliability of evidence collection. This invention achieves integrated closed-loop management of edge collaboration, on-demand allocation, and dynamic adaptation, making it particularly suitable for complex law enforcement scenarios with multiple concurrent devices and limited bandwidth. Attached Figure Description

[0015] The invention will now be further described with reference to the accompanying drawings.

[0016] Figure 1 This is a schematic diagram illustrating the steps of the law enforcement recorder LCD display management method based on edge IoT of the present invention; Figure 2 This is a schematic diagram of the structure of the law enforcement recorder LCD display management system based on edge IoT of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 As shown, this invention is a method for managing the LCD screen of a law enforcement recorder based on edge IoT, including an edge IoT gateway that connects several law enforcement recorders. The edge IoT gateway includes the following steps: Step S1: Acquire the status data of each law enforcement recorder in real time, collect raw video from each law enforcement recorder within a preset time window, and extract the original center image based on each raw video. In a preferred embodiment of the present invention, the status data includes uplink communication bandwidth, signal strength, battery level, sensor load rate, and remaining frame buffer capacity of the liquid crystal display. In a preferred embodiment of the present invention, the process of extracting the original center image from each original video includes: All original videos are divided into several image frames. Based on image recognition technology, all targets within the image frames are identified. The targets include people, plants, animals, and objects. Targets that are identified in all image frames are obtained and recorded as common targets. A spatial coordinate system is established with any image frame as a reference. The image frames are aligned in the spatial coordinate system, and the regions where all common targets are located are fused to obtain the original center image. The process of merging the areas where all shared objectives are located includes: For several image frames from the same original video, extract the image features of the common target in each image frame, obtain the average image feature of each image feature, record it as a feature point, and establish a feature point correspondence relationship across law enforcement recorders; take the image frame of any law enforcement recorder as a reference frame, obtain the homography transformation matrix from the image frames of the other law enforcement recorders to the reference frame according to the feature point correspondence relationship; project all the image frames of law enforcement recorders onto the spatial coordinate system according to the homography transformation matrix, extract the area commonly covered by the image frames of all law enforcement recorders, and fuse the area commonly covered by the image frames of all law enforcement recorders to obtain the original center image; Specifically, from the image frames of each law enforcement recorder, all objects identified as common targets are extracted. For each common target, a scale-invariant feature transformation algorithm is used to extract its key feature points in each image frame, and a feature point correspondence relationship is established across recorders. Taking any law enforcement recorder as a reference frame, based on the feature points of the common targets in the reference frame and the feature point correspondence relationship, the homography transformation matrix from the image frames of the other law enforcement recorders to the reference frame is obtained. Based on the homography transformation matrix, the image frames of all law enforcement recorders are projected onto the spatial coordinate system to obtain the overlapping areas between the image frames, retain the area jointly monitored and covered by all law enforcement recorders, propose the edge area captured by only a single law enforcement recorder, and perform pixel-level fusion on multiple transformed image frames within the common coverage area. The feature point correspondence refers to the matching relationship established between feature points extracted from the same physical target in image frames captured by different law enforcement recorders. Step S2: Establish a coordinate system within the original center image and divide the original center image into several sub-source blocks, each sub-source block corresponding to a position coordinate; determine the transmission matching degree between each sub-source block and each law enforcement recorder based on the status data, and determine the optimal sub-source block for each law enforcement recorder based on the transmission matching degree; In a preferred embodiment of the present invention, each sub-slice source block is a pixel region in the original center image, and when the original center image is divided, it is ensured that each sub-slice source block does not overlap and the boundaries are aligned. In a preferred embodiment of the present invention, the original center image is divided into several pixels, and each pixel corresponds to a coordinate in the coordinate system; the pixel corresponding to the center point of the sub-slice source block is obtained and denoted as the center pixel, and the coordinates corresponding to the center pixel in the coordinate system are obtained and denoted as the position coordinates corresponding to the sub-slice source block. In a preferred embodiment of the present invention, the process of determining the transmission matching degree between the sub-slice source block and the law enforcement recorder includes: The transmission matching degree between the i-th law enforcement recorder and the j-th sub-source block BW i This indicates the uplink communication bandwidth of the [number] law enforcement recorder, measured in Mbps (BW). max D is the preset maximum uplink communication bandwidth. j D represents the data size of the j-th sub-slice source block. max Indicates the maximum data size of a single sub-slice source block as preset, SS i Power represents the signal strength value of the body camera per unit of data volume. i For the remaining battery capacity of the i-th law enforcement recorder, Power max This indicates the maximum battery capacity of the law enforcement recorder, in L. i This represents the sensor load rate of the i-th law enforcement recorder; It is worth noting that the signal strength value is a dimensionless index value describing the signal strength of the law enforcement recorder, with a value of [0, 1], and the sensor load rate is a dimensionless value with a value of [0, 1]. In a preferred embodiment of the present invention, the process of determining the optimal sub-slice source block of each law enforcement recorder based on the transmission matching degree includes: Obtain the transmission matching degree between each law enforcement recorder and each sub-slice source block, and construct an allocation model with the goal of maximizing the sum of matching degrees. Where m is the total number of law enforcement recorders, n is the total number of sub-slice source blocks, and x ijLet be a 0-1 decision variable, representing whether to allocate the j-th sub-slice source block to the i-th law enforcement recorder; solve the allocation model to obtain an allocation strategy that satisfies that each sub-slice source block has one and only one law enforcement recorder, then the sub-slice source block to which the law enforcement recorder is allocated is denoted as the best sub-slice source block of the law enforcement recorder; Step S3: Each law enforcement recorder acquires the sub-source image of its best sub-source block, and stitches the sub-source images together according to the position coordinates of each best sub-source block to obtain a complete image frame in real time. In a preferred embodiment of the present invention, the process of stitching together the sub-source images includes: for any sub-source image collected by a law enforcement recorder, mapping the sub-source image to the corresponding pixel area in the coordinate system according to the position coordinates of the best sub-source block corresponding to the law enforcement recorder; The process of stitching together the source images from each sub-slice also includes: When several sub-source images overlap in pixel regions in the coordinate system, a fade-in / fade-out weighted fusion algorithm is used to calculate the pixel values ​​in the overlapping regions of each sub-source image to eliminate the stitching seams. For non-overlapping regions, the pixel values ​​of each sub-source image are directly copied to the corresponding positions in the coordinate system, and the filled pixel regions are assembled into a complete image frame according to the line-by-line scanning order of the coordinate system. Specifically, for each sub-image source captured by a law enforcement recorder, the center pixel of the sub-image source is aligned with the position coordinates of the assigned optimal sub-image source block, and all pixels of the sub-image source are mapped to coordinates in the coordinate system according to their row and column offsets relative to the center pixel. When sub-image source from different law enforcement recorders are mapped to the coordinate system, it is determined whether two or more sub-image source to the same coordinate are mapped. If so, the coordinate position is determined to be an overlapping area. If the mapped areas of adjacent sub-image source to the law enforcement recorder do not overlap and have no gaps, they are determined to be adjacent areas. For the overlapping region, the pixel values ​​of the corresponding pixels are extracted from all the sub-source images mapped to the region. These pixel values ​​are weighted according to the signal strength of the law enforcement recorder that acquired the sub-source image. The higher the signal strength, the greater the weight. Finally, the weighted sum of each pixel value is taken as the average value, which is the final pixel value of the overlapping region in the complete image frame. For the adjacent regions and independent regions that are neither overlapping nor adjacent, the pixel value of the unique sub-source image mapped to that coordinate is directly used as the pixel value of the corresponding coordinate position in the complete image frame; if any coordinate is not mapped to by any sub-source image, then interpolation is performed from the nearest existing pixel value of that coordinate. According to the order of row coordinates from smallest to largest in the coordinate system, for each row, according to the order of column coordinates from smallest to largest, the pixel values ​​of each coordinate position are extracted in sequence, and these pixel values ​​are arranged in order to form a complete image frame. Step S4: Store all complete image frames in the edge IoT gateway, obtain the current link quality parameters, determine the real-time display resolution based on the current link quality parameters, and output each complete image frame sequentially on the LCD screen of the law enforcement recorder according to the real-time display resolution. In a preferred embodiment of the present invention, the process of determining the real-time display resolution based on the current link quality parameters includes: Several link quality parameter thresholds are set, and the communication link quality is divided into several link quality levels according to each link quality parameter threshold. Each link quality level corresponds to a preset display resolution threshold. Then, based on the current link quality parameters, the current link quality level is determined, and the display resolution threshold corresponding to the current link quality level is obtained, which is recorded as the real-time display resolution. It is worth noting that the current link quality parameters are downlink quality parameters monitored by the edge gateway; In a preferred embodiment of the present invention, the process of outputting a complete image frame on the liquid crystal display screen of the law enforcement recorder according to the real-time display resolution includes: The law enforcement recorder sends a pull request to the edge IoT gateway based on the determined real-time display resolution. The pull request carries the identifier of the requested video segment and the determined real-time display resolution value. After receiving the pull request, the edge IoT gateway downsamples the complete resolution video segment stored in the edge IoT gateway according to the requested real-time display resolution and transmits the downsampled video segment to the law enforcement recorder. The video segment consists of several consecutive complete image frames. The law enforcement recorder receives downsampled video clips, decodes them, and sends them directly to the frame buffer of the LCD display module. The LCD screen then adapts and displays the clips according to its physical resolution. When the resolution of the downsampled video clip is inconsistent with the physical resolution of the LCD display module, the image signal processor inside the LCD display module automatically performs scaling to fill the screen and maintain the original aspect ratio.

[0019] The law enforcement recorder LCD display management system based on edge IoT includes an edge IoT gateway for communication connections between several law enforcement recorders, wherein the edge IoT gateway includes: Acquisition module: acquires the status data of each law enforcement recorder in real time, acquires raw video from each law enforcement recorder within a preset time window, and extracts the raw center image from each raw video; Segmentation and matching module: Establishes a coordinate system within the original center image and divides the original center image into several sub-segment source blocks, each sub-segment source block corresponding to a position coordinate; determines the transmission matching degree between each sub-segment source block and each law enforcement recorder based on the status data, and determines the optimal sub-segment source block for each law enforcement recorder based on the transmission matching degree; Stitching module: Each law enforcement recorder acquires the sub-source image of its best sub-source block, and stitches the sub-source images together according to the position coordinates of each best sub-source block to obtain a complete image frame in real time; Display output module: Stores all complete image frames in the edge IoT gateway, obtains the current link quality parameters, determines the real-time display resolution based on the current link quality parameters, and outputs each complete image frame sequentially on the LCD screen of the law enforcement recorder according to the real-time display resolution.

[0020] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. A method for managing the LCD screen of a law enforcement recorder based on edge IoT, characterized in that, An edge IoT gateway comprising several law enforcement recorders communicatively connected together, the edge IoT gateway comprising the following steps: Step S1: Acquire the status data of each law enforcement recorder in real time, collect raw video from each law enforcement recorder within a preset time window, and extract the original center image based on each raw video. Step S2: Establish a coordinate system within the original center image and divide the original center image into several sub-source blocks, each sub-source block corresponding to a position coordinate; determine the transmission matching degree between each sub-source block and each law enforcement recorder based on the status data, and determine the optimal sub-source block for each law enforcement recorder based on the transmission matching degree; Step S3: Each law enforcement recorder acquires the sub-source image of its best sub-source block, and stitches the sub-source images together according to the position coordinates of each best sub-source block to obtain a complete image frame in real time. Step S4: Store all complete image frames in the edge IoT gateway, obtain the current link quality parameters, determine the real-time display resolution based on the current link quality parameters, and output each complete image frame sequentially on the LCD screen of the law enforcement recorder according to the real-time display resolution.

2. The method for managing the LCD screen of a law enforcement recorder based on edge IoT according to claim 1, characterized in that, In step S1, the status data includes uplink communication bandwidth, signal strength, battery remaining capacity, sensor load rate, and the remaining frame buffer capacity of the LCD screen.

3. The method for managing the LCD screen of a law enforcement recorder based on edge IoT according to claim 1, characterized in that, In step S1, the process of extracting the original center image from each original video includes: All original videos are divided into several image frames. Based on image recognition technology, all targets within the image frames are identified. The targets include people, plants, animals, and objects. Targets that are identified in all image frames are obtained and recorded as common targets. A spatial coordinate system is established with any image frame as a reference. The image frames are aligned in the spatial coordinate system, and the regions where all common targets are located are fused to obtain the original central image.

4. The method for managing the LCD screen of a law enforcement recorder based on edge IoT according to claim 1, characterized in that, In step S2, the original center image is divided into several pixels, and each pixel corresponds to a coordinate in the coordinate system; the pixel corresponding to the center point of the sub-slice source block is obtained and denoted as the center pixel, and the coordinates corresponding to the center pixel in the coordinate system are obtained and denoted as the position coordinates corresponding to the sub-slice source block.

5. The method for managing the LCD screen of a law enforcement recorder based on edge IoT according to claim 1, characterized in that, In step S2, the process of determining the transmission matching degree between the sub-slice source block and the law enforcement recorder includes: The transmission matching degree between the i-th law enforcement recorder and the j-th sub-source block BW i This indicates the uplink communication bandwidth of the [number] law enforcement recorder, measured in Mbps (BW). max D is the preset maximum uplink communication bandwidth. j D represents the data size of the j-th sub-slice source block. max Indicates the maximum data size of a single sub-slice source block as preset, SS i Power indicates the signal strength of the body camera per unit of data volume. i The remaining battery life of the i-th law enforcement recorder, Power max This indicates the maximum battery capacity of the law enforcement recorder, in L. i This represents the sensor load rate of the i-th law enforcement recorder.

6. The method for managing the LCD screen of a law enforcement recorder based on edge IoT according to claim 1, characterized in that, In step S2, the process of determining the optimal sub-slice source block for each law enforcement recorder based on the transmission matching degree includes: Obtain the transmission matching degree between each law enforcement recorder and each sub-slice source block, and construct an allocation model with the goal of maximizing the sum of matching degrees. Where m is the total number of law enforcement recorders, n is the total number of sub-slice source blocks, and x ij Let be a 0-1 decision variable, representing whether to allocate the j-th sub-slice source block to the i-th law enforcement recorder; solve the allocation model to obtain an allocation strategy that satisfies that each sub-slice source block has one and only one law enforcement recorder, then the sub-slice source block to which the law enforcement recorder is allocated is denoted as the best sub-slice source block of the law enforcement recorder.

7. The method for managing the LCD screen of a law enforcement recorder based on edge IoT according to claim 1, characterized in that, In step S3, the process of stitching together the sub-source images includes mapping the sub-source image to the corresponding pixel area in the coordinate system based on the position coordinates of the best sub-source block corresponding to the law enforcement recorder for any sub-source image collected by any law enforcement recorder.

8. The method for managing the LCD screen of a law enforcement recorder based on edge IoT according to claim 1, characterized in that, In step S4, the process of determining the real-time display resolution based on the current link quality parameters includes: Several link quality parameter thresholds are set, and the communication link quality is divided into several link quality levels according to each link quality parameter threshold. Each link quality level corresponds to a preset display resolution threshold. Then, based on the current link quality parameters, the current link quality level is determined, and the display resolution threshold corresponding to the current link quality level is obtained, which is recorded as the real-time display resolution.

9. A law enforcement recorder LCD display management system based on edge IoT, characterized in that, An edge IoT gateway comprising several law enforcement recorders for communication connection, the edge IoT gateway including: Acquisition module: acquires the status data of each law enforcement recorder in real time, acquires raw video from each law enforcement recorder within a preset time window, and extracts the raw center image from each raw video; Segmentation and matching module: Establishes a coordinate system within the original center image and divides the original center image into several sub-segment source blocks, each sub-segment source block corresponding to a position coordinate; determines the transmission matching degree between each sub-segment source block and each law enforcement recorder based on the status data, and determines the optimal sub-segment source block for each law enforcement recorder based on the transmission matching degree; Stitching module: Each law enforcement recorder acquires the sub-source image of its best sub-source block, and stitches the sub-source images together according to the position coordinates of each best sub-source block to obtain a complete image frame in real time; Display output module: Stores all complete image frames in the edge IoT gateway, obtains the current link quality parameters, determines the real-time display resolution based on the current link quality parameters, and outputs each complete image frame sequentially on the LCD screen of the law enforcement recorder according to the real-time display resolution.

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